{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e3769158",
   "metadata": {},
   "source": [
    "# 任务一  统计订单时间时长"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ceba9b2",
   "metadata": {},
   "source": [
    "- 试用饼图实现**统计订单时间时长**，数据源'Taxi_sz.csv'\n",
    "- 代码需要注解"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5fffd11c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "65d1266d",
   "metadata": {},
   "source": [
    "# 任务二 统计不同时段的速度"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "553770e9",
   "metadata": {},
   "source": [
    "**统计不同时段的速度。**数据源--清洗后的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "42b35e53",
   "metadata": {},
   "outputs": [],
   "source": [
    "def differentSpeed():\n",
    "\n",
    "    df = pd.read_csv(r'./data/Taxi_sz_data.csv')\n",
    "    df = df[-(df['Speed'] == 0)]\n",
    "\n",
    "    # 假设 df 包含以时间格式表示的 'Stime' 列\n",
    "    df['Stime'] = pd.to_datetime(df['Stime'], format='%H:%M:%S')\n",
    "\n",
    "    # 为不同时间段创建区间\n",
    "    bins = pd.cut(df['Stime'].dt.hour, bins=[8, 10, 12, 14, 16, 18, 20, 22, 24], labels=[\n",
    "                  '8-10', '10-12', '12-14', '14-16', '16-18', '18-20', '20-22', '22-24'])\n",
    "\n",
    "    # 计算每个时间段的最大、平均和最小速度\n",
    "    grouped_df = df.groupby(bins)['Speed'].agg(\n",
    "        ['max', 'mean', 'min']).reset_index()\n",
    "    # 创建新的 DataFrame 以适应 plot 函数\n",
    "    data = pd.DataFrame({\n",
    "        '时间段': ['8-10', '10-12', '12-14', '14-16', '16-18', '18-20', '20-22', '22-24'],\n",
    "        '最快速度': grouped_df['max'].tolist(),\n",
    "        '平均速度': grouped_df['mean'].tolist(),\n",
    "        '最小速度': grouped_df['min'].tolist()\n",
    "    })\n",
    "    # 绘图\n",
    "    data.set_index('时间段').plot(kind='bar', rot=0)\n",
    "    plt.xlabel('时间段', fontproperties='simhei')\n",
    "    plt.ylabel('速度', fontproperties='simhei')\n",
    "    plt.title('不同时间段的速度统计', fontproperties='simhei')\n",
    "    plt.rcParams['font.family'] = 'simHei'\n",
    "    plt.legend()\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9599bc3d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3bb22929",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "dbbfa436",
   "metadata": {},
   "source": [
    "# 任务三  不同时间段载有乘客的数量"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb0377c3",
   "metadata": {},
   "source": [
    "**不同时间段载有乘客的数量**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "944a8ea2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据源---Taxi_sz.csv\n",
    "# 提取小时值\n",
    "data_se['Hour'] = data_se['Stime'].str.slice(0, 2)\n",
    "# 转换数据结构\n",
    "hourCount = data_se.groupby(\n",
    "    'Hour')['VehicleNum'].count().rename('count').reset_index()\n",
    "# 分析绘图\n",
    "mpl.rcParams[\"font.sans-serif\"] = ['SimHei']\n",
    "plt.xlabel('时间/h')\n",
    "plt.ylabel('车数/辆')\n",
    "plt.title('各个时间段行驶的有乘客的车辆数目')\n",
    "#plt.ylim(0, 1000)\n",
    "#plt.plot(hourCount['Hour'], hourCount['count'])\n",
    "plt.plot(hourCount['Hour'], hourCount['count'])\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4ed4535",
   "metadata": {},
   "source": [
    "# 任务四--统计不同车辆的平均行驶速度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "594b78d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def isVehicle(VehicleNum):\n",
    "    taxiDataVehicleNum = data_clean['VehicleNum'].unique()\n",
    "    # display(taxiDataVehicleNum)\n",
    "    return VehicleNum in taxiDataVehicleNum\n",
    "\n",
    "\n",
    "def meanSpeed(VehicleNum):\n",
    "    i = VehicleNum\n",
    "    while isVehicle(i) == False:\n",
    "        print('车辆牌号不存在，请重新输入（共有3次机会）！')\n",
    "\n",
    "        i = eval(input())\n",
    "        if i == 3:\n",
    "            return\n",
    "        else:\n",
    "            continue\n",
    "\n",
    "    data_clean['Hour'] = data_clean['Stime'].str.slice(0, 2)\n",
    "    taxiDataByVehicleNum = data_clean[(data_clean['VehicleNum'] == i)]\n",
    "    meanSpeed = taxiDataByVehicleNum.groupby(\n",
    "        'Hour')['Speed'].mean().rename('vehicleSpeedMean').reset_index()\n",
    "    # display(meanSpeed)\n",
    "    # 开始画图\n",
    "    #mpl.rcParams[\"font.sans-serif\"] = ['SimHei']\n",
    "    #mpl.rcParams[\"axes.unicode_minus\"] = False\n",
    "    plt.xlabel(\"时间/小时\")\n",
    "    plt.ylabel(\"平均速度\")\n",
    "    plt.title(\"车牌号为:\"+VehicleNum+\"出租车的平均速度\")\n",
    "    plt.plot(meanSpeed['Hour'], meanSpeed['vehicleSpeedMean'])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3a77e51",
   "metadata": {},
   "outputs": [],
   "source": [
    "#调用方法，完成需求---理解代码，添加注解"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3a5e385",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54ae4791",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0769d95a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "eec3b60c",
   "metadata": {},
   "source": [
    "# 任务五--展示出租车一天第一次载客时的连续行驶路径"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "668f5e77",
   "metadata": {},
   "source": [
    "**任务--展示出租车一天第一次载客时的连续行驶路径**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8e3f8bb",
   "metadata": {},
   "source": [
    "需完善：需要判断车牌号的正确性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0056bdcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导出经纬度   ---需要判断车牌号的正确性\n",
    "import pandas as pd\n",
    "\n",
    "taxi = pd.read_csv('./data/Taxi_sz_data.csv') \n",
    "num = eval(input('请输入需要导出经纬度数据的车牌号：'))\n",
    "\n",
    "taxi_num = taxi[taxi['VehicleNum'] == num].reset_index()\n",
    "\n",
    "for i in range(len(taxi_num)):\n",
    "    time = (pd.to_datetime(taxi_num['Stime'][i]\n",
    "                           ) - pd.to_datetime('00:00:00')).seconds\n",
    "    taxi_num['Stime'][i] = time\n",
    "taxi_time = taxi_num.sort_values(by=['VehicleNum', 'Stime']).reset_index()\n",
    "#print(taxi_time)\n",
    "taxi_loc = taxi_time[['Lng', 'Lat']]\n",
    "values = taxi_loc.values\n",
    "with open(str(num) + \"taxi_line.txt\", mode=\"a\", encoding=\"utf-8\") as f:   # 保存在/data该如何实现？？？\n",
    "    f.seek(0)\n",
    "    f.truncate()\n",
    "    for i in range(len(taxi_loc)):\n",
    "        try:\n",
    "            if taxi_time['OpenStatus'][i] == 1 and taxi_time['OpenStatus'][i+1] == 1:\n",
    "                if values[i][0] == values[i-1][0] and values[i][1] == values[i-1][1]:\n",
    "                    continue\n",
    "                lng = float(values[i][0])\n",
    "                lat = float(values[i][1])\n",
    "                if lng == \"\" or lat == \"\":\n",
    "                    continue\n",
    "                dic = {'lat': lat, 'lng': lng}\n",
    "                f.write(str(dic))\n",
    "                if i != len(taxi_loc) - 1:\n",
    "                    f.write(\",\\n\")\n",
    "            elif taxi_time['OpenStatus'][i] == 1 and taxi_time['OpenStatus'][i+1] == 0:\n",
    "                if values[i][0] == values[i-1][0] and values[i][1] == values[i-1][1]:\n",
    "                    continue\n",
    "                lng = float(values[i][0])\n",
    "                lat = float(values[i][1])\n",
    "                if lng == \"\" or lat == \"\":\n",
    "                    continue\n",
    "                dic = {'lat': lat, 'lng': lng}\n",
    "                f.write(str(dic))\n",
    "                if i != len(taxi_loc) - 1:\n",
    "                    f.write(\",\\n\")\n",
    "                break\n",
    "        except:\n",
    "            continue\n",
    "print('已成功导出！\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c576d6f",
   "metadata": {},
   "source": [
    "# 任务--绘制乘客上车、下车地点的热力图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d95be7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导出经纬度--开始数据\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "c = pd.read_csv(\"./data/Taxi_sz.csv\", encoding=\"utf-8\", low_memory=False)\n",
    "num = c.groupby([\"SLng\", \"SLat\"])[\"VehicleNum\"].count()\n",
    "index1 = num.index\n",
    "values1 = num.values\n",
    "num1 = len(num)\n",
    "for it in range(num1):\n",
    "    try:\n",
    "        lng = float(index1[it][0])\n",
    "        lat = float(index1[it][1])\n",
    "        count = int(values1[it])\n",
    "        if lng == \"\" or lat == \"\":\n",
    "            continue\n",
    "        dic = {'lat': lat, 'lng': lng, 'count': count}\n",
    "        if it == 0:\n",
    "            with open(\"./data/start.txt\", mode=\"w\", encoding=\"utf-8\") as f:  # a可以续写，w则是清空再写\n",
    "                dic = str(dic)\n",
    "                f.write(dic + \",\")\n",
    "                f.write(\"\\n\")   # write()  read()\n",
    "        else: \n",
    "            with open(\"./data/start.txt\", mode=\"a\", encoding=\"utf-8\") as f:\n",
    "                if it == num1 - 1:\n",
    "                    dic = str(dic)\n",
    "                    f.write(dic)\n",
    "                else:\n",
    "                    dic = str(dic)\n",
    "                    f.write(dic + \",\")\n",
    "                    f.write(\"\\n\")\n",
    "    except:\n",
    "        continue\n",
    "print(\"导出成功\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3d672a4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "23bb3b8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "# 导出经纬度--结束数据\n",
    "import pandas as pd\n",
    "\n",
    "c = pd.read_csv(\"./data/Taxi_sz.csv\", encoding=\"utf-8\", low_memory=False)\n",
    "num = c.groupby([\"SLng\", \"SLat\"])[\"VehicleNum\"].count()\n",
    "index1 = num.index\n",
    "values1 = num.values\n",
    "num1 = len(num)\n",
    "for it in range(num1):\n",
    "    try:\n",
    "        lng = float(index1[it][0])\n",
    "        lat = float(index1[it][1])\n",
    "        count = int(values1[it])\n",
    "        if lng == \"\" or lat == \"\":\n",
    "            continue\n",
    "        dic = {'lat': lat, 'lng': lng, 'count': count}\n",
    "        if it == 0:\n",
    "            with open(\"./data/end.txt\", mode=\"w\", encoding=\"utf-8\") as f:  # a可以续写，w则是清空再写\n",
    "                dic = str(dic)\n",
    "                f.write(dic + \",\")\n",
    "                f.write(\"\\n\")\n",
    "        else:\n",
    "            with open(\"./data/end.txt\", mode=\"a\", encoding=\"utf-8\") as f:\n",
    "                if it == num1 - 1:\n",
    "                    dic = str(dic)\n",
    "                    f.write(dic)\n",
    "                else:\n",
    "                    dic = str(dic)\n",
    "                    f.write(dic + \",\")\n",
    "                    f.write(\"\\n\")\n",
    "    except:\n",
    "        continue\n",
    "print(\"导出成功\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71fa951e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f40d7895",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "0ce25cb8",
   "metadata": {},
   "source": [
    "# 任务六--车(载客时)的各个平均速度范围内的出租车辆的分布情况¶"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfd745b6",
   "metadata": {},
   "source": [
    "**按照平均速度范围统计位于该范围内的出租车辆数的分布情况,并用（统计图）展示出来**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "de77f98c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2126e831",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f1eb2ce",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03289e3e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "bf76af58",
   "metadata": {},
   "source": [
    "# 作业"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2334ef41",
   "metadata": {},
   "source": [
    "**汽车贷款违约的数据分析**。 数据源--data.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4edea7de",
   "metadata": {},
   "outputs": [],
   "source": [
    "试着获取数据、分析数据，按实际情况完成数据的处理与可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5b37e65",
   "metadata": {},
   "source": [
    "'申请者ID','帐户号','是否违约','汽车购买时间','汽车制造商','曾经破产标识','五年内信用不良事件数量','全部帐户数量',\n",
    "           '账号存续月份数','开户帐户数量','信用卡数量','信用卡欠款余额','信用卡授信额度','信用卡额度使用比例',\n",
    "           'FICO打分','汽车购买金额','建议售价','分期付款的首次交款','贷款期限','贷款金额','贷款金额/售价','月均收入','行驶里程','是否二手车','样本权重'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec42659f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as  pd \n",
    "data = pd.read_csv('./data/data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3adc146c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7328510</td>\n",
       "      <td>14323</td>\n",
       "      <td>1</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>PLYMOUTH</td>\n",
       "      <td>N</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>13595.00</td>\n",
       "      <td>11450.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>60</td>\n",
       "      <td>10500.00</td>\n",
       "      <td>92.0</td>\n",
       "      <td>2000.00</td>\n",
       "      <td>19600.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8725187</td>\n",
       "      <td>15359</td>\n",
       "      <td>1</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>FORD</td>\n",
       "      <td>N</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12999.00</td>\n",
       "      <td>12100.0</td>\n",
       "      <td>3099.00</td>\n",
       "      <td>60</td>\n",
       "      <td>10800.00</td>\n",
       "      <td>118.0</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4275127</td>\n",
       "      <td>15812</td>\n",
       "      <td>0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>TOYOTA</td>\n",
       "      <td>N</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>26328.04</td>\n",
       "      <td>22024.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>60</td>\n",
       "      <td>26328.04</td>\n",
       "      <td>122.0</td>\n",
       "      <td>4144.00</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8712513</td>\n",
       "      <td>16979</td>\n",
       "      <td>0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>DODGE</td>\n",
       "      <td>Y</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>26272.72</td>\n",
       "      <td>26375.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>36</td>\n",
       "      <td>26272.72</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5400.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2063896</td>\n",
       "      <td>17842</td>\n",
       "      <td>0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>INFINITI</td>\n",
       "      <td>N</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>339.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>31069.00</td>\n",
       "      <td>30519.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>36</td>\n",
       "      <td>9550.00</td>\n",
       "      <td>32.0</td>\n",
       "      <td>5416.67</td>\n",
       "      <td>500.0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>598458</td>\n",
       "      <td>19715</td>\n",
       "      <td>0</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>BUICK</td>\n",
       "      <td>N</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>9600.00</td>\n",
       "      <td>8900.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>54</td>\n",
       "      <td>8600.00</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1560.00</td>\n",
       "      <td>77267.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1526052</td>\n",
       "      <td>23924</td>\n",
       "      <td>1</td>\n",
       "      <td>1994.0</td>\n",
       "      <td>MITT</td>\n",
       "      <td>N</td>\n",
       "      <td>2.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6700.00</td>\n",
       "      <td>6350.0</td>\n",
       "      <td>500.00</td>\n",
       "      <td>42</td>\n",
       "      <td>6800.00</td>\n",
       "      <td>139.0</td>\n",
       "      <td>2416.67</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8073975</td>\n",
       "      <td>24866</td>\n",
       "      <td>0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>CHEV</td>\n",
       "      <td>Y</td>\n",
       "      <td>11.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>15543.00</td>\n",
       "      <td>15100.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>60</td>\n",
       "      <td>14543.00</td>\n",
       "      <td>102.0</td>\n",
       "      <td>2933.33</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   application_id  account_number  bad_ind  vehicle_year vehicle_make  \\\n",
       "0         2314049           11613        1        1998.0         FORD   \n",
       "1           63539           13449        0        2000.0       DAEWOO   \n",
       "2         7328510           14323        1        1998.0     PLYMOUTH   \n",
       "3         8725187           15359        1        1997.0         FORD   \n",
       "4         4275127           15812        0        2000.0       TOYOTA   \n",
       "5         8712513           16979        0        2000.0        DODGE   \n",
       "6         2063896           17842        0        2000.0     INFINITI   \n",
       "7          598458           19715        0        1994.0        BUICK   \n",
       "8         1526052           23924        1        1994.0         MITT   \n",
       "9         8073975           24866        0        1999.0         CHEV   \n",
       "\n",
       "  bankruptcy_ind  tot_derog  tot_tr  age_oldest_tr  tot_open_tr  ...  \\\n",
       "0              N        7.0     9.0           64.0          2.0  ...   \n",
       "1              N        0.0    21.0          240.0         11.0  ...   \n",
       "2              N        7.0    10.0           60.0          NaN  ...   \n",
       "3              N        3.0    10.0           35.0          5.0  ...   \n",
       "4              N        0.0    10.0          104.0          2.0  ...   \n",
       "5              Y        2.0    15.0          136.0          4.0  ...   \n",
       "6              N        0.0    13.0          339.0          4.0  ...   \n",
       "7              N        0.0     2.0          261.0          NaN  ...   \n",
       "8              N        2.0    13.0          213.0          3.0  ...   \n",
       "9              Y       11.0    20.0          178.0          NaN  ...   \n",
       "\n",
       "   purch_price     msrp  down_pyt  loan_term  loan_amt    ltv  tot_income  \\\n",
       "0     17200.00  17350.0      0.00         36  17200.00   99.0     6550.00   \n",
       "1     19588.54  19788.0    683.54         60  19588.54   99.0     4666.67   \n",
       "2     13595.00  11450.0      0.00         60  10500.00   92.0     2000.00   \n",
       "3     12999.00  12100.0   3099.00         60  10800.00  118.0     1500.00   \n",
       "4     26328.04  22024.0      0.00         60  26328.04  122.0     4144.00   \n",
       "5     26272.72  26375.0      0.00         36  26272.72  100.0     5400.00   \n",
       "6     31069.00  30519.0      0.00         36   9550.00   32.0     5416.67   \n",
       "7      9600.00   8900.0      0.00         54   8600.00   98.0     1560.00   \n",
       "8      6700.00   6350.0    500.00         42   6800.00  139.0     2416.67   \n",
       "9     15543.00  15100.0      0.00         60  14543.00  102.0     2933.33   \n",
       "\n",
       "   veh_mileage  used_ind  weight  \n",
       "0      24000.0         1    1.00  \n",
       "1         22.0         0    4.75  \n",
       "2      19600.0         1    1.00  \n",
       "3      10000.0         1    1.00  \n",
       "4         14.0         0    4.75  \n",
       "5          1.0         0    4.75  \n",
       "6        500.0         0    4.75  \n",
       "7      77267.0         1    4.75  \n",
       "8      40000.0         1    1.00  \n",
       "9       6000.0         1    4.75  \n",
       "\n",
       "[10 rows x 25 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(10)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0e13d45",
   "metadata": {},
   "source": [
    "<font size=4 color=red>主要是参考其数据特征工程的处理方式</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a226e4e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\zyf65\\AppData\\Local\\Temp\\ipykernel_26680\\2282646387.py:109: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data_x.loc[:, 'vehicle_year'][data_x.loc[:,\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\anaconda\\Lib\\site-packages\\sklearn\\base.py:464: UserWarning: X does not have valid feature names, but DecisionTreeClassifier was fitted with feature names\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\Lib\\site-packages\\sklearn\\base.py:464: UserWarning: X does not have valid feature names, but DecisionTreeClassifier was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\anaconda\\Lib\\site-packages\\sklearn\\base.py:464: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names\n",
      "  warnings.warn(\n",
      "D:\\anaconda\\Lib\\site-packages\\sklearn\\base.py:464: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 读入数据\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier, plot_tree\n",
    "import matplotlib.pyplot as plt\n",
    "import sklearn.metrics as metrics\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "import os\n",
    "import numpy as np\n",
    "path = 'D:/soft/jupyter-notebook/shixun/data'\n",
    "# 注意文件夹路径，双斜杠\n",
    "path_name = os.path.join(path, 'data.csv')\n",
    "# 注意，os.path.join函数，执行路径拼接\n",
    "\n",
    "data = pd.read_csv(path_name)\n",
    "#data = pd.read_csv('data.csv')\n",
    "# 查看样本形状，样本条数，样本属性数量\n",
    "data.shape\n",
    "# 查看数据前5条数据\n",
    "data.head()\n",
    "# 查看数据大概情况\n",
    "data.describe().T\n",
    "# 观察并通过duplicated方检查发现现application_id account_number都是样本的唯一编号且二者同值，取其一即可\n",
    "data.loc[:, ['application_id', 'account_number']].duplicated().sum()\n",
    "data.dtypes\n",
    "# 分别划分X变量与Y变量\n",
    "x_list = ['vehicle_year', 'vehicle_make', 'bankruptcy_ind', 'tot_derog', 'tot_tr',\n",
    "          'age_oldest_tr', 'tot_open_tr', 'tot_rev_tr', 'tot_rev_debt', 'tot_rev_line', 'rev_util', 'fico_score',\n",
    "          'purch_price',\n",
    "          'msrp', 'down_pyt', 'loan_term', 'loan_amt', 'ltv', 'tot_income', 'veh_mileage', 'used_ind', 'weight']\n",
    "data_x = data.loc[:, x_list]\n",
    "data_y = data.loc[:, 'bad_ind']\n",
    "\n",
    "\n",
    "# 查看Y变量值的分布 正负样本数量\n",
    "data_y.value_counts()\n",
    "# 真对X变量进行数据探索\n",
    "pd.set_option('display.max_columns', None)\n",
    "data_x_des = data_x.describe(include='all').T\n",
    "data_x_des\n",
    "# 将变量中文名与变量一一对应，方便后续进行查看\n",
    "all_list = list(data.columns)\n",
    "cn_label = ['申请者ID', '帐户号', '是否违约', '汽车购买时间', '汽车制造商', '曾经破产标识', '五年内信用不良事件数量', '全部帐户数量',\n",
    "            '账号存续月份数', '开户帐户数量', '信用卡数量', '信用卡欠款余额', '信用卡授信额度', '信用卡额度使用比例',\n",
    "            'FICO打分', '汽车购买金额', '建议售价', '分期付款的首次交款', '贷款期限', '贷款金额', '贷款金额/售价', '月均收入', '行驶里程', '是否二手车', '样本权重'\n",
    "            ]\n",
    "label_dict = {}\n",
    "for i in range(len(all_list)):\n",
    "    label_dict[all_list[i]] = cn_label[i]\n",
    "# 将label拼接到X变量\n",
    "label_series = pd.Series(label_dict)\n",
    "data_x_des['label'] = label_series\n",
    "data_x.isnull().sum()\n",
    "\n",
    "###########################\n",
    "# 查看月均收入的总体分布情况和缺失值情况\n",
    "data_x['tot_income'].value_counts(dropna=False)\n",
    "data_x['tot_income'].describe().T\n",
    "data_x['tot_income'].isnull().sum()\n",
    "# 查看每项的违约情况\n",
    "data_y.groupby(data_x['tot_income']).agg(['count', 'mean'])\n",
    "# 缺失值采用中位数填充\n",
    "data_x['tot_income'] = data_x['tot_income'].fillna(\n",
    "    data_x['tot_income'].median())  #众，中位数\n",
    "# 盖帽处理\n",
    "q25 = data_x['tot_income'].quantile(0.25)\n",
    "q75 = data_x['tot_income'].quantile(0.75)\n",
    "max_qz = q75+1.5*(q75-q25)\n",
    "sum(data_x['tot_income'] > max_qz)\n",
    "# 359 #存在259个样本的取值超过理论极大值，进行盖帽\n",
    "\n",
    "temp_series = data_x['tot_income'] > max_qz\n",
    "data_x.loc[temp_series, 'tot_income'] = max_qz\n",
    "data_x['tot_income'].describe()\n",
    "\n",
    "# 对信用卡授信额度进行预处理\n",
    "data_x['tot_rev_line'].value_counts(dropna=False)\n",
    "data_x['tot_rev_line'].describe().T\n",
    "data_x['tot_rev_line'].isnull().sum()\n",
    "# 查看每项的违约情况\n",
    "data_y.groupby(data_x['tot_rev_line']).agg(['count', 'mean'])\n",
    "data_x['tot_rev_line1'] = data_x['tot_rev_line'].fillna('unknown')\n",
    "data_y.groupby(data_x['tot_rev_line1']).agg(['count', 'mean'])\n",
    "# 盖帽处理\n",
    "q25 = data_x['tot_rev_line'].quantile(0.25)\n",
    "q75 = data_x['tot_rev_line'].quantile(0.75)\n",
    "max_qz = q75+1.5*(q75-q25)\n",
    "sum(data_x['tot_rev_line'] > max_qz)\n",
    "# 259 #存在259个样本的取值超过理论极大值，进行盖帽\n",
    "\n",
    "temp_series = data_x['tot_rev_line'] > max_qz\n",
    "data_x.loc[temp_series, 'tot_rev_line'] = max_qz\n",
    "data_x['tot_rev_line'].describe()\n",
    "# 将数据分箱 用999999填充缺失值\n",
    "data_x['tot_rev_line_fx'] = pd.qcut(\n",
    "    data_x['tot_rev_line'], 10, labels=False, duplicates='drop')\n",
    "data_x['tot_rev_line_fx'] = data_x['tot_rev_line_fx'].fillna(999999)\n",
    "\n",
    "# 查看不同码值对应的违约率情况\n",
    "data_y.groupby(data_x['tot_rev_line_fx']).agg(['count', 'mean'])\n",
    "\n",
    "# 汽车制造年份预处理\n",
    "# 产看其缺失值情况\n",
    "data_x.loc[:, 'vehicle_year'].value_counts().sort_index()\n",
    "data_x['vehicle_year'].isnull().sum()\n",
    "data_y.groupby(data_x['vehicle_year']).agg(['count', 'mean'])\n",
    "\n",
    "# 填充缺失值\n",
    "data_x.loc[:, 'vehicle_year'][data_x.loc[:,\n",
    "                                         'vehicle_year'].isin([0, 9999])] = np.nan\n",
    "data_x['vehicle_year'] = data_x['vehicle_year'].fillna(\n",
    "    data_x['vehicle_year'].median())\n",
    "\n",
    "# 对破产标示进行预处理\n",
    "data_x['bankruptcy_ind'].value_counts(dropna=False)\n",
    "data_x['bankruptcy_ind1'] = data_x['bankruptcy_ind'].fillna('unknown')\n",
    "data_y.groupby(data_x['bankruptcy_ind1']).agg(['count', 'mean'])\n",
    "\n",
    "# 重新划分X与Y变量\n",
    "x_var_list = ['tot_derog', 'tot_tr', 'age_oldest_tr', 'tot_open_tr', 'tot_rev_tr', 'tot_rev_debt', 'tot_rev_line', \n",
    "              'rev_util', 'fico_score', 'purch_price',\n",
    "              'msrp', 'down_pyt', 'loan_term', 'loan_amt', 'ltv', 'tot_income', 'veh_mileage', 'used_ind']\n",
    "data_x = data.loc[:, x_var_list]\n",
    "data_y = data.loc[:, 'bad_ind']\n",
    "# 用中位数填充缺失值\n",
    "temp = data_x.median()\n",
    "temp_dict = {}\n",
    "for i in range(len(list(temp.index))):\n",
    "    temp_dict[list(temp.index)[i]] = list(temp.values)[i]\n",
    "\n",
    "data_x_fill = data_x.fillna(temp_dict)\n",
    "# 使用train_test_split划分训练集与测试集\n",
    "train_x, test_x, train_y, test_y = train_test_split(\n",
    "    data_x_fill, data_y, test_size=0.25, random_state=12345)\n",
    "\n",
    "# 引入线性回归工具包\n",
    "linear = LinearRegression()\n",
    "# 模型训练\n",
    "model = linear.fit(train_x, train_y)\n",
    "# 查看相关系数\n",
    "linear.intercept_\n",
    "linear.coef_\n",
    "# 排序得出权重最大的几个变量\n",
    "var_coef = pd.DataFrame()\n",
    "var_coef['var'] = x_var_list\n",
    "var_coef['coef'] = linear.coef_\n",
    "var_coef.sort_values(by='coef', ascending=False)\n",
    "\n",
    "# clf.predict_proba，计算每个样本的预测概率，预测y=0，y=1，提取y=1的一列数据\n",
    "# 注意，roc_curve函数，返回假正率、真正率、门槛值\n",
    "# 基于测试集,进行auc模型评估\n",
    "fpr, tpr, th = metrics.roc_curve(test_y, linear.predict(test_x))\n",
    "metrics.auc(fpr, tpr)\n",
    "# 绘制ROC曲线\n",
    "plt.figure(figsize=[8, 8])\n",
    "plt.plot(fpr, tpr, color='b')\n",
    "plt.plot([0, 1], [0, 1], color='r', alpha=.5, linestyle='--')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# 使用决策树模型进行数据分析\n",
    "tree = DecisionTreeClassifier()\n",
    "# 模型训练\n",
    "tree.fit(train_x, train_y)\n",
    "# 查看树的深度\n",
    "len(np.unique(tree.apply(train_x)))\n",
    "# 查看模型训练效果\n",
    "fpr, tpr, th = metrics.roc_curve(\n",
    "    test_y, tree.predict_proba(test_x.values)[:, 1])\n",
    "metrics.auc(fpr, tpr)\n",
    "\n",
    "# 调整决策树参数重新构建决策树 重新设置树的最大深度和叶节点大小\n",
    "tree2 = DecisionTreeClassifier(max_depth=20, min_samples_leaf=100)\n",
    "tree2.fit(train_x, train_y)\n",
    "# 查看树的深度\n",
    "len(np.unique(tree2.apply(train_x)))\n",
    "\n",
    "# 查看auc评估指标\n",
    "fpr, tpr, th = metrics.roc_curve(\n",
    "    test_y, tree2.predict_proba(test_x.values)[:, 1])\n",
    "metrics.auc(fpr, tpr)\n",
    "# 查看决策树结构\n",
    "plt.figure(figsize=[16, 10])\n",
    "plot_tree(tree2, filled=True)\n",
    "# plot_tree函数，绘制决策树的整体结构\n",
    "plt.show()\n",
    "# 绘制ROC曲线\n",
    "plt.figure(figsize=[8, 8])\n",
    "plt.plot(fpr, tpr, color='b')\n",
    "plt.plot([0, 1], [0, 1], color='r', alpha=.5, linestyle='--')\n",
    "plt.show()\n",
    "\n",
    "# 采用随机森林模型进行分类预测\n",
    "#forest = RandomForestClassifier(n_estimators=100, max_depth=20, min_samples_leaf=100,random_state=11223)\n",
    "forest = RandomForestClassifier()\n",
    "# 模型训练\n",
    "forest.fit(train_x, train_y)\n",
    "# 查看auc评估指标\n",
    "fpr, tpr, th = metrics.roc_curve(\n",
    "    test_y, forest.predict_proba(test_x.values)[:, 1])\n",
    "metrics.auc(fpr, tpr)\n",
    "# 调参构建新的随机森林\n",
    "forest1 = RandomForestClassifier(\n",
    "    n_estimators=100, max_depth=20, min_samples_leaf=100, random_state=11223)\n",
    "# 构建新的随机森林模型\n",
    "forest1.fit(train_x, train_y)\n",
    "# 查看auc评估指标\n",
    "fpr, tpr, th = metrics.roc_curve(\n",
    "    test_y, forest1.predict_proba(test_x.values)[:, 1])\n",
    "metrics.auc(fpr, tpr)\n",
    "# 绘制ROC曲线\n",
    "plt.figure(figsize=[8, 8])\n",
    "plt.plot(fpr, tpr, color='b')\n",
    "plt.plot([0, 1], [0, 1], color='r', alpha=.5, linestyle='--')\n",
    "plt.show()"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "bb5a193f",
   "metadata": {},
   "outputs": [],
   "source": []
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